upload int4-nb-dep_gint8 bundle
Browse files- .gitattributes +4 -0
- int4-nb-dep_gint8/README.md +96 -0
- int4-nb-dep_gint8/config.json +125 -0
- int4-nb-dep_gint8/depformer_step.onnx +3 -0
- int4-nb-dep_gint8/depformer_step.onnx.data +3 -0
- int4-nb-dep_gint8/mimi_decoder.onnx +3 -0
- int4-nb-dep_gint8/mimi_decoder.onnx.data +3 -0
- int4-nb-dep_gint8/mimi_encoder.onnx +3 -0
- int4-nb-dep_gint8/mimi_encoder.onnx.data +3 -0
- int4-nb-dep_gint8/system_prompts.bin +3 -0
- int4-nb-dep_gint8/temporal_step.onnx +3 -0
- int4-nb-dep_gint8/temporal_step.onnx.data +3 -0
- int4-nb-dep_gint8/tokenizer_spm_32k_3.model +3 -0
- int4-nb-dep_gint8/voices/NATF0.bin +3 -0
- int4-nb-dep_gint8/voices/NATF1.bin +3 -0
- int4-nb-dep_gint8/voices/NATF2.bin +3 -0
- int4-nb-dep_gint8/voices/NATF3.bin +3 -0
- int4-nb-dep_gint8/voices/NATM0.bin +3 -0
- int4-nb-dep_gint8/voices/NATM1.bin +3 -0
- int4-nb-dep_gint8/voices/NATM2.bin +3 -0
- int4-nb-dep_gint8/voices/NATM3.bin +3 -0
- int4-nb-dep_gint8/voices/VARF0.bin +3 -0
- int4-nb-dep_gint8/voices/VARF1.bin +3 -0
- int4-nb-dep_gint8/voices/VARF2.bin +3 -0
- int4-nb-dep_gint8/voices/VARF3.bin +3 -0
- int4-nb-dep_gint8/voices/VARF4.bin +3 -0
- int4-nb-dep_gint8/voices/VARM0.bin +3 -0
- int4-nb-dep_gint8/voices/VARM1.bin +3 -0
- int4-nb-dep_gint8/voices/VARM2.bin +3 -0
- int4-nb-dep_gint8/voices/VARM3.bin +3 -0
- int4-nb-dep_gint8/voices/VARM4.bin +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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int4-nb-dep_gint8/depformer_step.onnx.data filter=lfs diff=lfs merge=lfs -text
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int4-nb-dep_gint8/mimi_decoder.onnx.data filter=lfs diff=lfs merge=lfs -text
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int4-nb-dep_gint8/mimi_encoder.onnx.data filter=lfs diff=lfs merge=lfs -text
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int4-nb-dep_gint8/temporal_step.onnx.data filter=lfs diff=lfs merge=lfs -text
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int4-nb-dep_gint8/README.md
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---
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license: other
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license_name: nvidia-open-model-license
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license_link: https://huggingface.co/nvidia/personaplex-7b-v1/resolve/main/LICENSE
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language:
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- en
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library_name: onnxruntime
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tags:
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- personaplex
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- speech-to-speech
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- full-duplex
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- voice-agent
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- onnx
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- moshi-architecture
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base_model: nvidia/personaplex-7b-v1
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---
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# PersonaPlex 7B ONNX -- `int4-nb-dep_gint8` variant
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Smallest disk. INT4 MatMulNBits temporal (block=32) + custom INT8 depformer + FP32 mimi. Coherent but degraded quality.
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This is one of four ONNX-quantized bundles of NVIDIA's
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[PersonaPlex 7B](https://huggingface.co/nvidia/personaplex-7b-v1) -- a
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full-duplex speech-to-speech model on Kyutai's
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[Moshi](https://github.com/kyutai-labs/moshi) architecture. The full
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collection is at
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[soniqo/PersonaPlex-7B-ONNX](https://huggingface.co/soniqo/PersonaPlex-7B-ONNX).
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## Quick reference (measured on RTX 5090, VARF2 voice, "helpful" prompt, 50 frames)
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| | This bundle |
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|---|---|
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| **Disk** | ~7.6 GB |
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| **Host RAM** | 1.4 GB |
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| **VRAM** | 9.6 GB |
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| **RTF (12.5 Hz)** | 1.12x (1.0 = realtime) |
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| **Quality** | cos 0.877393 vs FP32 reference |
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Smallest viable bundle. Visibly degraded but produces coherent English.
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## All four variants
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| Variant | Disk | Host RAM | VRAM | RTF | hidden cos | Best for |
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|---|---|---|---|---|---|---|
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| `fp16` | ~17 GB | 1.5 GB | 18.3 GB | 5.3x | 1.0000 | Near-perfect quality |
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| `mixed` | ~11 GB | 7.9 GB | 6.6 GB | 3.5x | 0.9904 | Best quality at low VRAM |
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| `int8-nb-dep_gint8` ⭐ | ~9.4 GB | 1.4 GB | 12.1 GB | 1.12x | 0.9977 | Best balance: near realtime RTF, low host RAM, excellent quality |
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| `int4-nb-dep_gint8` | ~7.6 GB | 1.4 GB | 9.6 GB | 1.12x | 0.8774 | Smallest viable bundle ← **(this)** |
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The `int8-nb-dep_gint8` variant is the recommended ship default: best RTF (1.12x, near realtime), low host RAM (1.4 GB), and excellent quality (cos 0.998).
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The `mixed` variant wins on **quality + VRAM combined** but its RTF is 3.5x: the INT8 dynamic-quantize pattern adds 384 CPU↔GPU Memcpy bridges which block CUDA Graph capture. Pick this when VRAM is the binding constraint.
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## How to use
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This bundle is consumed by the [speech-core](https://github.com/soniqo/speech-core) C++ inference runtime:
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```bash
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# Download (from speech-core repo root)
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PERSONAPLEX_VARIANT=int4-nb-dep_gint8 scripts/download_personaplex_onnx.sh
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# Run
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build/Release/run_personaplex scripts/personaplex-int4-nb-dep_gint8 50 audio.wav VARF2
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```
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Or load directly with ONNX Runtime in any language:
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```python
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import onnxruntime as ort
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| 70 |
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sess = ort.InferenceSession("temporal_step.onnx", providers=["CUDAExecutionProvider"])
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# inputs: text_token [1,1] int64, audio_tokens [1,16] int64,
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# past_k_all [32,1,32,T,128] float, past_v_all [32,1,32,T,128] float
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# outputs: hidden [1,1,4096] float, new_k_all, new_v_all
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```
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## Files in this variant
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| File | Purpose |
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|---|---|
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| `mimi_encoder.onnx`(+`.data`) | 24 kHz PCM -> 16 audio codebooks @ 12.5 Hz |
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| `mimi_decoder.onnx`(+`.data`) | 16 audio codebooks @ 12.5 Hz -> 24 kHz PCM |
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| 82 |
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| `temporal_step.onnx`(+`.data`) | One frame of 32-layer 7B temporal transformer, explicit KV-cache I/O |
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| 83 |
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| `depformer_step.onnx`(+`.data`) | One inner step of 6-layer depformer, 16 codebook steps per frame |
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| 84 |
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| `tokenizer_spm_32k_3.model` | SentencePiece text tokenizer |
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| 85 |
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| `voices/<name>.bin` | 18 voice prompts (NATF*, NATM*, VARF*, VARM*) |
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| `system_prompts.bin` | Pre-tokenized "helpful" / "expert" / "warm" / "direct" prompts |
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| `config.json` | Architecture + precision + measured-metrics metadata |
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| 88 |
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## Related
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| 90 |
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- [soniqo/speech-core](https://github.com/soniqo/speech-core) -- C++ runtime that consumes this bundle, with the `OnnxPersonaPlex` wrapper and CUDA EP routing
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- [soniqo.audio](https://soniqo.audio) -- the project site
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| 93 |
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| 94 |
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## License
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| 95 |
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| 96 |
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Same as the upstream NVIDIA PersonaPlex 7B (NVIDIA Open Model License).
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int4-nb-dep_gint8/config.json
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@@ -0,0 +1,125 @@
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{
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| 2 |
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"model_type": "personaplex",
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| 3 |
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"version": "personaplex-7b-v1",
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| 4 |
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"base_model": "nvidia/personaplex-7b-v1",
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| 5 |
+
"bundle_variant": "int4-nb-dep_gint8",
|
| 6 |
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"bundle_size_gb": 7.6,
|
| 7 |
+
"precision": {
|
| 8 |
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"temporal": "int4_matmulnbits_b32",
|
| 9 |
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"depformer": "custom_int8_gather",
|
| 10 |
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"mimi": "fp32"
|
| 11 |
+
},
|
| 12 |
+
"metrics": {
|
| 13 |
+
"host_ram_gb": 1.4,
|
| 14 |
+
"vram_gb": 9.6,
|
| 15 |
+
"rtf": 1.12,
|
| 16 |
+
"hidden_cos_vs_fp32": 0.877393,
|
| 17 |
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"verdict": "Smallest viable bundle. Visibly degraded but produces coherent English."
|
| 18 |
+
},
|
| 19 |
+
"description": "Smallest disk. INT4 MatMulNBits temporal (block=32) + custom INT8 depformer + FP32 mimi. Coherent but degraded quality.",
|
| 20 |
+
"temporal": {
|
| 21 |
+
"dim": 4096,
|
| 22 |
+
"num_layers": 32,
|
| 23 |
+
"num_heads": 32,
|
| 24 |
+
"head_dim": 128,
|
| 25 |
+
"hidden_scale": 4.125,
|
| 26 |
+
"n_q": 16,
|
| 27 |
+
"card": 2048,
|
| 28 |
+
"text_card": 32000,
|
| 29 |
+
"context": 3000,
|
| 30 |
+
"max_period": 10000
|
| 31 |
+
},
|
| 32 |
+
"depformer": {
|
| 33 |
+
"dim": 1024,
|
| 34 |
+
"num_layers": 6,
|
| 35 |
+
"num_heads": 16,
|
| 36 |
+
"head_dim": 64,
|
| 37 |
+
"dim_feedforward": 4224,
|
| 38 |
+
"num_steps": 16,
|
| 39 |
+
"card": 2048,
|
| 40 |
+
"context": 8,
|
| 41 |
+
"weights_per_step": true,
|
| 42 |
+
"multi_linear": true,
|
| 43 |
+
"pos_emb": "none"
|
| 44 |
+
},
|
| 45 |
+
"mimi": {
|
| 46 |
+
"sample_rate": 24000,
|
| 47 |
+
"frame_rate": 12.5,
|
| 48 |
+
"num_codebooks_used": 8,
|
| 49 |
+
"num_codebooks_internal": 32,
|
| 50 |
+
"codebook_size": 2048,
|
| 51 |
+
"samples_per_frame": 1920
|
| 52 |
+
},
|
| 53 |
+
"delays": [
|
| 54 |
+
0,
|
| 55 |
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|
| 56 |
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1,
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| 57 |
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1,
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| 58 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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0,
|
| 64 |
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| 65 |
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| 66 |
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|
| 67 |
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1,
|
| 68 |
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1,
|
| 69 |
+
1,
|
| 70 |
+
1
|
| 71 |
+
],
|
| 72 |
+
"sampling": {
|
| 73 |
+
"audio_temp": 0.8,
|
| 74 |
+
"audio_top_k": 250,
|
| 75 |
+
"text_temp": 0.7,
|
| 76 |
+
"text_top_k": 25
|
| 77 |
+
},
|
| 78 |
+
"voices": [
|
| 79 |
+
"NATF0",
|
| 80 |
+
"NATF1",
|
| 81 |
+
"NATF2",
|
| 82 |
+
"NATF3",
|
| 83 |
+
"NATM0",
|
| 84 |
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"NATM1",
|
| 85 |
+
"NATM2",
|
| 86 |
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"NATM3",
|
| 87 |
+
"VARF0",
|
| 88 |
+
"VARF1",
|
| 89 |
+
"VARF2",
|
| 90 |
+
"VARF3",
|
| 91 |
+
"VARF4",
|
| 92 |
+
"VARM0",
|
| 93 |
+
"VARM1",
|
| 94 |
+
"VARM2",
|
| 95 |
+
"VARM3",
|
| 96 |
+
"VARM4"
|
| 97 |
+
],
|
| 98 |
+
"system_prompts": [
|
| 99 |
+
"helpful",
|
| 100 |
+
"expert",
|
| 101 |
+
"warm",
|
| 102 |
+
"direct"
|
| 103 |
+
],
|
| 104 |
+
"voice_embedding": {
|
| 105 |
+
"frames": 50,
|
| 106 |
+
"dim": 4096,
|
| 107 |
+
"default_scale": 10.0
|
| 108 |
+
},
|
| 109 |
+
"prefill_layout": {
|
| 110 |
+
"voice_embedding_prefix_frames": 50,
|
| 111 |
+
"voice_cache_replay_frames": 4,
|
| 112 |
+
"silence_spacer_frames": 6
|
| 113 |
+
},
|
| 114 |
+
"graphs": {
|
| 115 |
+
"mimi_encoder": "mimi_encoder.onnx",
|
| 116 |
+
"mimi_decoder": "mimi_decoder.onnx",
|
| 117 |
+
"temporal_step": "temporal_step.onnx",
|
| 118 |
+
"depformer_step": "depformer_step.onnx"
|
| 119 |
+
},
|
| 120 |
+
"auxiliary": {
|
| 121 |
+
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|
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|
| 124 |
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|
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